Design and Hardware Implementation of a Separable Image Steganographic Scheme Using Public-key Cryptosystem
Authors: Salah Harb, M. Omair Ahmad, M. N. S Swamy
AI-generated Key Points
- Salah Harb, M. Omair Ahmad, and M. N. S Swamy propose an efficient hardware implementation of a steganographic cryptosystem based on public-key cryptography.
- The proposed public-key cryptosystem offers a separable framework that allows for the independent embedding or extraction of secret data and encryption or decryption of the carrier using the public-private key pair.
- To encrypt and decrypt pixels of the digital image, they adopt the Paillier cryptographic system and design an efficient parallel Montgomery exponentiation core to perform underlying field operations in this cryptosystem.
- The hardware implementation results demonstrate efficiency in terms of area (resources), performance (speed), and power consumption.
- This small footprint makes it well-suited for embedded systems such as medical scanning devices, autopilot cars, and drones that require real-time processing engines to protect sensitive information during communication over unsecured channels.
Abstract: In this paper, a novel and efficient hardware implementation of steganographic cryptosystem based on a public-key cryptography is proposed. Digital images are utilized as carriers of secret data between sender and receiver parties in the communication channel. The proposed public-key cryptosystem offers a separable framework that allows to embed or extract secret data and encrypt or decrypt the carrier using the public-private key pair, independently. Paillier cryptographic system is adopted to encrypt and decrypt pixels of the digital image. To achieve efficiency, a proposed efficient parallel montgomery exponentiation core is designed and implemented for performing the underlying field operations in the Paillier cryptosystem. The hardware implementation results of the proposed steganographic cryptosystem show an efficiency in terms of area (resources), performance (speed) and power consumption. Our steganographic cryptosystem represents a small footprint making it well-suited for the embedded systems and real-time processing engines in applications such as medical scanning devices, autopilot cars and drones.
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